title: Left ventricular border tracking using cardiac motion models and optical flow.
abstract: The use of automated methods is becoming increasingly important for assessing cardiac function quantitatively and objectively. In this study, we propose a method for tracking three-dimensional (3-D) left ventricular contours. The method consists of a local optical flow tracker and a global tracker, which uses a statistical model of cardiac motion in an optical-flow formulation. We propose a combination of local and global trackers using gradient-based weights. The algorithm was tested on 35 echocardiographic sequences, with good results (surface error: 1.35 ± 0.46 mm, absolute volume error: 5.4 ± 4.8 mL). This demonstrates the method's potential in automated tracking in clinical quality echocardiograms, facilitating the quantitative and objective assessment of cardiac function.
authors.affiliation: Biomedical Engineering, Thoraxcenter, Erasmus MC, The Netherlands. k.leung@erasmusmc.nl
authors.forename: K Y Esther
authors.initials: KY
authors.lastname: Leung
authors.forename: Mikhail G
authors.initials: MG
authors.lastname: Danilouchkine
authors.forename: Marijn
authors.initials: M
authors.lastname: van Stralen
authors.forename: Nico
authors.initials: N
authors.lastname: de Jong
authors.forename: Antonius F W
authors.initials: AF
authors.lastname: van der Steen
authors.forename: Johan G
authors.initials: JG
authors.lastname: Bosch
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004452:Echocardiography / Q000379:methods*; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D009038:Motion; D009068:Movement / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016277:Ventricular Function, Left / Q000502:physiology*